Research Themes
The Signal Processing and Communications Laboratory has a long-established reputation in a wide range of topics, from theoretical analysis through to highly developed applications. The laboratory consists of six academic staff plus a group (typically 30 to 35) of post-doctoral researchers and PhD students.
Some of the major research themes are listed below:
Other areas of interest include
- Audio and Music Processing
- Bayesian Computational Methods
- Coding Theory
- Computer Vision and Computer Graphics
- Data Compression
- Digital Communications
- Financial Modelling
- Image, Video and 3D Data Processing
- Machine Learning
- Motion Capture Technologies
- Multi-resolution and Wavelet Methods
- Signal Processing for Life Sciences Data
- Sparsity-based methods and Compressive Sensing
- Statistical Inference - Computation and Theory
- Tracking and Reasoning over Time
- Wireless Communications
